The data below is for a hypothetical study investigating the Systolic Blood Pressure (SBP) of construction workers. The table shows respective measurements of 20 workers along with hours of work per day and the area of the city the work took place. [You can use Excel-Data Analysis – Regression or http://vassarstats.net/multU.html] SBP Hrs/day Area 109.6 7 east 107.4 8 east 140.3 9 east 146.5 12 east 98.2 6 east 137.8 9 east 124.1 10 east 113.2 8 east 127.8 9 east 125.3 8 east 108.5 6 west 181.3 13 west 137.4 10 west 146.2 10 west 142.4 9 west 123.7 8 west 129.6 8 west 143.6 9 west 160.7 11 west 148.3 9 west   a) What is the regression equation?   b) Interpret the meaning of the slopes in this problem.   d)  At the 0.05 level of significance, determine whether each independent variable makes a contribution to the regression model. Indicate the most appropriate regression model for this set of data

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4GP
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The data below is for a hypothetical study investigating the Systolic Blood Pressure (SBP) of construction workers. The table shows respective measurements of 20 workers along with hours of work per day and the area of the city the work took place.

[You can use Excel-Data Analysis – Regression or http://vassarstats.net/multU.html]

SBP

Hrs/day

Area

109.6

7

east

107.4

8

east

140.3

9

east

146.5

12

east

98.2

6

east

137.8

9

east

124.1

10

east

113.2

8

east

127.8

9

east

125.3

8

east

108.5

6

west

181.3

13

west

137.4

10

west

146.2

10

west

142.4

9

west

123.7

8

west

129.6

8

west

143.6

9

west

160.7

11

west

148.3

9

west

 

  1. a) What is the regression equation?

 

  1. b) Interpret the meaning of the slopes in this problem.

 

d)  At the 0.05 level of significance, determine whether each independent variable makes a contribution to the regression model. Indicate the most appropriate regression model for this set of data

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